Mathieu Cretton
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Mathieu Cretton has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Janine Bolliger
WSL, Swiss Federal Research Institute, Zürcherstrasse 111, CH-8903 Birmensdorf, Switzerland
1 shared publication - Kurt Bollmann
Swiss Federal Institute for Forest, Snow and Landscape Research WSL Birmensdorf Switzerland
1 shared publication - Malte Jochum
Department of Global Change Ecology, Biocenter, University of Wurzburg, Wurzburg, Germany
1 shared publication - Martin K. Obrist
Biodiversity and Conservation Biology Swiss Federal Institute for Forest, Snow and Landscape Research WSL Birmensdorf Switzerland
1 shared publication - Nicola van Koppenhagen
Swiss Federal Research Institute WSL Birmensdorf Switzerland
1 shared publication - Roman Flury
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, Switzerland
1 shared publication
Latest Publications
- Open Access
AWET – Arthropod Weight Estimation Tool
Arthropods drive essential ecosystem processes such as pollination, decomposition, and nutrient cycling and are widely used as indicators of ecosystem condition and function. Among various arthropod-derived metrics, body weight is a key variable in functional ecology and frequently assessed as dry body weight. However, drying arthropod specimens limits the samples’ future potential for research, as it prevents further processing such as trait measurements or species identification. Here, we present AWET (Arthropod Weight Estimation Tool), an open-source application for automated estimation of individual fresh body weight and extraction of morphometric measurements from standardized images of pre-sorted arthropod samples. AWET combines automated image analysis with taxon-specific allometric regression models to estimate fresh body weight while simultaneously quantifying body length, width, area, and specimen abundance. The software operates with standard imaging equipment, requires no machine-learning-based classification or segmentation, and allows users to define taxonomic groupings according to their objectives. By preserving specimens for downstream analyses while processing large numbers of individuals within milliseconds, AWET provides an efficient, non-destructive, and cost-effective workflow for high-throughput arthropod phenotyping. The software is a practical and expandable tool for biodiversity monitoring projects investigating changes in arthropod biomass, abundance and individual morphometric measures.
Open AccessAWET – Arthropod Weight Estimation Tool
Arthropods drive essential ecosystem processes such as pollination, decomposition, and nutrient cycling and are widely used as indicators of ecosystem condition and function. Among various arthropod-derived metrics, body weight is a key variable in functional ecology and frequently assessed as dry body weight. However, drying arthropod specimens limits the samples’ future potential for research, as it prevents further processing such as trait measurements or species identification. Here, we present AWET (Arthropod Weight Estimation Tool), an open-source application for automated estimation of individual fresh body weight and extraction of morphometric measurements from standardized images of pre-sorted arthropod samples. AWET combines automated image analysis with taxon-specific allometric regression models to estimate fresh body weight while simultaneously quantifying body length, width, area, and specimen abundance. The software operates with standard imaging equipment, requires no machine-learning-based classification or segmentation, and allows users to define taxonomic groupings according to their objectives. By preserving specimens for downstream analyses while processing large numbers of individuals within milliseconds, AWET provides an efficient, non-destructive, and cost-effective workflow for high-throughput arthropod phenotyping. The software is a practical and expandable tool for biodiversity monitoring projects investigating changes in arthropod biomass, abundance and individual morphometric measures.